April 20, 2000 |
Statistics Courses Available for Faculty Approval |
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| Statistics Courses | |||
| QNT/321 | Statistics in Business I | ||
| QNT/322 | Statistics in Business II | ||
| QNT/436.3 | Statistics in Health Care | ||
| QNT/522.3 | Statistics in Business | ||
| QNT/523 | Statistical Applications for Business | ||
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Statistics Course Descriptions |
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| QNT/321 | Statistics in Business I | BSB/M/A/IS | ||
| This course surveys descriptive statistics with emphasis on practical applications of statistical analysis. It includes an examination of the role of statistics in research, statistical terminology, the appropriate use of statistical techniques, and the interpretation of statistical finding in business and business research. | ||||
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| QNT/322 | Statistics in Business II | BSB/M/A/IS | ||
| This course surveys descriptive statistics with emphasis on practical applications of statistical analysis. It includes an examination of the role of statistics in research, statistical terminology, the appropriate use of statistical techniques, and the interpretation of statistical finding in business and business research. | ||||
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| QNT/436.3 | Statistics in Health Care | BSN | ||
| This course surveys descriptive and inferential statistics with emphasis on practical applications of statistical analysis. Examination of the role of statistics in research, statistical terminology, the appropriate use of statistical techniques and interpretation of statistical findings in nursing and health care research are also included. | ||||
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| QNT/522.3 | Statistics in Business | MBA | ||
| This course introduces basic concepts in statistics needed for quantitative thinking about managerial decisions. Topics include descriptive statistics, probability, sampling, and introductory estimation and hypothesis testing. | ||||
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| QNT/523 | Statistical Applications for Business | MBA | ||
| This course provides in-depth treatment procedures that are widely used in the analysis of business problems. Major topics include correlation and regression, and analysis of variance, chi-square analysis of categorical data, and non-parametric procedures. Applications of statistical procedures in quality control and business forecasting are highlighted. | ||||
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